An adaptive sliding mode fault-tolerant control of variable speed reaching law for steer-by-wire systems

Fault-tolerant control (FTC) is crucial for enhancing the safety, reliability, and tracking performance of steer-by-wire (SBW) systems. This paper focuses on actuator effectiveness reduction faults and establishes an analytical model of the SBW system that incorporates motor disturbances, steering feedback, and self-aligning torque characteristics. To solve the inadequate tracking accuracy resulting from actuator fault and system disturbances, an adaptive sliding mode fault-tolerant control strategy based on a variable-speed reaching law (VSRL-ASMFTC) is proposed. By integrating an adjustment function into the constant-velocity reaching polynomial and designing an adaptive law, dynamic updating of the control law is achieved. Furthermore, the closed-loop stability of the system is proven based on Lyapunov's stability criterion. The example information demonstrates that the proposed method reduces the root mean square (RMS) of tracking error by nearly 40% in three typical conditions compared to adaptive fault-tolerant control methods (ASMFTC), and the disturbances of the controller are relatively slighter. This indicates that the VSRL-ASMFTC mitigates system chattering, optimizes the system's anti-disturbance capability and robust stability, and improves fault tolerance efficiency in the presence of actuator failures. It maintains good tracking performance of the system, which provides a basis for the design of high-performance fault-tolerant control strategies.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-14
DOI
https://doi.org/10.1038/s41598-025-96663-7
Citations
4
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
2.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An adaptive sliding mode fault-tolerant control of variable speed reaching law for steer-by-wire systems

Jinwen Yang, Dequan Zeng, Yi-Ming Hu, Shaohua Luo et al.
4 citations
Scientific Reports
Vehicle Dynamics and Control Systems
2.73
article

An adaptive sliding mode fault-tolerant control of variable speed reaching law for steer-by-wire systems

Jinwen Yang, Dequan Zeng, Yi-Ming Hu, Shaohua Luo, Giuseppe Carbone, Xiaofeng Zhu, Junhui Liu, Yinquan Yu
article en
4 citations

Abstract

Fault-tolerant control (FTC) is crucial for enhancing the safety, reliability, and tracking performance of steer-by-wire (SBW) systems. This paper focuses on actuator effectiveness reduction faults and establishes an analytical model of the SBW system that incorporates motor disturbances, steering feedback, and self-aligning torque characteristics. To solve the inadequate tracking accuracy resulting from actuator fault and system disturbances, an adaptive sliding mode fault-tolerant control strategy based on a variable-speed reaching law (VSRL-ASMFTC) is proposed. By integrating an adjustment function into the constant-velocity reaching polynomial and designing an adaptive law, dynamic updating of the control law is achieved. Furthermore, the closed-loop stability of the system is proven based on Lyapunov's stability criterion. The example information demonstrates that the proposed method reduces the root mean square (RMS) of tracking error by nearly 40% in three typical conditions compared to adaptive fault-tolerant control methods (ASMFTC), and the disturbances of the controller are relatively slighter. This indicates that the VSRL-ASMFTC mitigates system chattering, optimizes the system's anti-disturbance capability and robust stability, and improves fault tolerance efficiency in the presence of actuator failures. It maintains good tracking performance of the system, which provides a basis for the design of high-performance fault-tolerant control strategies.

Scientific ReportsVol. 15(1)
East China Jiaotong University (CN), Chongqing University (CN), Guizhou University (CN), University of Calabria (IT)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Natural Science Foundation for Young Scientists of Shanxi Province, Young Scientists Fund
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Vehicle Dynamics and Control Systems
2.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.